Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MASNADA Fausto | 65 |
| 2 | LECLAINCHE Gwen | 65 |
| 3 | JARNET Maxime | 63 |
| 5 | MONK Cyrus | 67 |
| 7 | LECROQ Jérémy | 70 |
| 9 | ASGREEN Kasper | 75 |
| 10 | ACKERMANN Pascal | 78 |
| 11 | MOLLY Kenny | 61 |
| 13 | VANGHELUWE Warre | 79 |
| 14 | LEROUX Samuel | 79 |
| 16 | SHEEHAN Riley | 69 |
| 17 | ROBEET Ludovic | 75 |
| 18 | SAJNOK Szymon | 75 |